Transaction
ID: d09ba1a643...5db9
Inputs (12)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.00125 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
6.53 ERG
Spent
Address:
Output transaction:
Settlement height:
Value:
0.000522 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.000522 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.000522 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.000522 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.000522 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.000522 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.000522 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.000522 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.000522 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.000522 ERG
Tokens:
Loading assets...
Outputs (23)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.00125 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
6.52 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.000522 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.000522 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.000522 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.000522 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.000522 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.000522 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.000522 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.000522 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.000522 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.000522 ERG
Tokens:
Loading assets...
Unspent
Unspent
Unspent
Unspent
Unspent
Unspent
Unspent
Unspent
Unspent
Unspent
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Transaction Details
Confirmations: 797,017
Total coins transferred: 6.53 ERG
Fees: 0.001 ERG
Fees per byte: 0.000000092 ERG
Raw Transaction Data
{
"id": "d09ba1a643920c0577ebcfa7857c8cdc6a76b152a9b5e641f465cece4f855db9",
"blockId": "f035eef6b5671c708c9359b8d51be00ca60fd57b928b2dad5dd03e7623780289",
"inclusionHeight": 967169,
"timestamp": 1679649649140,
"index": 28,
"globalIndex": 4957288,
"numConfirmations": 797017,
"inputs": [
{
"boxId": "f2066f0b2abbde97e0df34dbdb49a8ffdb299294a371fb1364dc05941b2407c1",
"value": 1250000,
"index": 0,
"spendingProof": null,
"outputBlockId": "f035eef6b5671c708c9359b8d51be00ca60fd57b928b2dad5dd03e7623780289",
"outputTransactionId": "ba0e79d86617592288a2e16530fb4c8da882d1f8a9a1c50f92c3dc851ca95bb6",
"outputIndex": 0,
"outputGlobalIndex": 27734117,
"outputCreatedAt": 967167,
"outputSettledAt": 967169,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 1\n3: 1\n4: 2\n5: 2\n6: 3\n7: 3\n8: 4\n9: 4\n10: 2\n11: 1\n12: 0\n13: 0\n14: 1\n15: 1\n16: CBigInt(1)\n17: 0\n18: 5\n19: 0\n20: 0\n21: 2\n22: 1\n23: 1\n24: Coll(55,104,118,86,102,-98,97,115,-26,12,86,113,35,-115,5,24,0,39,104,-9,55,29,11,1,-92,76,109,-43,96,37,112,97)\n25: 0\n26: 1\n27: 0\n28: 1\n29: 1\n30: 3\n31: 0\n32: 0\n33: 9223372036854775807\n34: 1\n35: 0\n36: 0\n37: 1\n38: 0\n39: 0\n40: false",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val coll2 = box1.tokens\n val coll3 = SELF.tokens\n val tuple4 = coll3(placeholder[Int](1))\n val coll5 = SELF.R4[Coll[Int]].get\n val l6 = SELF.R5[Long].get\n val l7 = SELF.R6[Long].get\n val tuple8 = coll2(placeholder[Int](2))\n val tuple9 = coll3(placeholder[Int](3))\n val tuple10 = coll2(placeholder[Int](4))\n val tuple11 = coll3(placeholder[Int](5))\n val tuple12 = coll2(placeholder[Int](6))\n val tuple13 = coll3(placeholder[Int](7))\n val coll14 = tuple13._1\n val tuple15 = coll2(placeholder[Int](8))\n val tuple16 = coll3(placeholder[Int](9))\n val coll17 = tuple16._1\n val l18 = tuple11._2\n val l19 = tuple10._2 - l18\n val l20 = tuple9._2\n val i21 = coll5(placeholder[Int](10))\n val i22 = HEIGHT - i21 + placeholder[Int](11)\n val i23 = coll5(placeholder[Int](12))\n val i24 = i22 / i23\n val i25 = if (i22 % i23 > placeholder[Int](13)) { i24 + placeholder[Int](14) } else { i24 }\n val i26 = coll5(placeholder[Int](15))\n val l27 = i26.toLong\n val l28 = l6 / l27\n val l29 = tuple12._2 - tuple13._2\n val l30 = tuple16._2\n val l31 = tuple15._2 - l30\n val bi32 = placeholder[BigInt](16)\n sigmaProp(\n (\n (\n (\n (\n (coll2(placeholder[Int](17)) == tuple4) && (\n (((box1.R4[Coll[Int]].get == coll5) && (box1.R5[Long].get == l6)) && (box1.R6[Long].get == l7)) && (box1.creationInfo._1 >= SELF.creationInfo._1)\n )\n ) && (box1.propositionBytes == SELF.propositionBytes)\n ) && ((((tuple8._1 == tuple9._1) && (tuple10._1 == tuple11._1)) && (tuple12._1 == coll14)) && (tuple15._1 == coll17))\n ) && (coll2.size == placeholder[Int](18))\n ) && if (l19 > placeholder[Long](19)) {(\n val l33 = l19 * l27 - max(placeholder[Long](20), i25.toLong)\n val box34 = OUTPUTS(placeholder[Int](21))\n (\n ((l6 - l20 + l7 >= if (i25 <= i26) { i25 } else { i26 + placeholder[Int](22) } - placeholder[Int](23).toLong * l28) && (l19 == !l29)) && (l33 == !l31)\n ) && (\n (\n (\n ((blake2b256(box34.propositionBytes) == placeholder[Coll[Byte]](24)) && ((coll14, l19) == box34.tokens(placeholder[Int](25)))) && (\n (coll17, l33) == box34.tokens(placeholder[Int](26))\n )\n ) && box34.R6[SigmaProp].isDefined\n ) && (box34.R7[Coll[Byte]].get == tuple4._1)\n )\n )} else {\n if (l19 < placeholder[Long](27)) {\n (\n (\n (l6 - l20 + l7 >= if (i25 <= i26) { i25 } else { i26 + placeholder[Int](28) } - placeholder[Int](29).toLong * l28) || (\n HEIGHT >= i21 + i26 * i23 + coll5(placeholder[Int](30))\n )\n ) && (l29 == !l19)\n ) && (l31 >= if (i25 > i26) { placeholder[Long](31) } else { l29 * l27 - max(placeholder[Long](32), i25.toLong) })\n } else {(\n val i33 = box1.R7[Int].get\n val i34 = i26 - i33\n val l35 = i34.toLong\n val l36 = placeholder[Long](33) - l30 - l18 - placeholder[Long](34) * l35\n if ((l36 > placeholder[Long](35)) && (l31 > placeholder[Long](36))) {\n (\n (\n ((i33 <= i25 - placeholder[Int](37)) && (l20 - l35 * l28 <= l28 + l7)) && (\n !tuple8._2 - l20.toBigInt <= l20.toBigInt - l6.toBigInt * i34.toBigInt / i26.toBigInt - bi32 * l31.toBigInt / l36.toBigInt + bi32\n )\n ) && (l19 == placeholder[Long](38))\n ) && (l29 == placeholder[Long](39))\n } else { placeholder[Boolean](40) }\n )}\n }\n )\n}",
"address": "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",
"assets": [
{
"tokenId": "7b560dc2cd34db2e7046a2be387b5ce73c70f35b52c4cfa8c2b0e6f5ccdb4b05",
"index": 0,
"amount": 1,
"name": null,
"decimals": null,
"type": null
},
{
"tokenId": "b277d2383e091ba1eaf354ac68665789d858fe0679aae2dc956a7d5dc9d57143",
"index": 1,
"amount": 1029347030,
"name": "tSPF",
"decimals": 6,
"type": "EIP-004"
},
{
"tokenId": "c7e22029868ecba3d43c385bb42b8a1c96d0114ad5261ec7e0d27a6f24254f92",
"index": 2,
"amount": 372776709,
"name": "Ergo_Spectrum Finance_LP",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "f914442a10bb4c72ab2a800613d2a8d8dad8c95d28aa067c00a98eb52337c6fd",
"index": 3,
"amount": 9223372036481999000,
"name": null,
"decimals": null,
"type": null
},
{
"tokenId": "5ad91f43b3df5de478a550e0d5827a02af0373d30a10f32dfa9311a25ff1c0ad",
"index": 4,
"amount": 9223372036471059000,
"name": null,
"decimals": null,
"type": null
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1004f40314e0e175c801",
"sigmaType": "Coll[SInt]",
"renderedValue": "[250,10,964720,100]"
},
"R5": {
"serializedValue": "05fe8fdfc04a",
"sigmaType": "SLong",
"renderedValue": "9999999999"
},
"R6": {
"serializedValue": "05d00f",
"sigmaType": "SLong",
"renderedValue": "1000"
},
"R7": {
"serializedValue": "0412",
"sigmaType": "SInt",
"renderedValue": "9"
}
}
},
{
"boxId": "7b4f80524ce24436d29643c19b63d9513f069613297d56c26e0fbbf2d9daa4e1",
"value": 6528000000,
"index": 1,
"spendingProof": "4ae31bf7a45fad58df2e8238f235c184f9f34ea3733ed9b3e8cb436f1e5eb872d3a07014ab5f67c1d5899984eee696b3aa8e76f5b352a91a",
"outputBlockId": "f035eef6b5671c708c9359b8d51be00ca60fd57b928b2dad5dd03e7623780289",
"outputTransactionId": "ba0e79d86617592288a2e16530fb4c8da882d1f8a9a1c50f92c3dc851ca95bb6",
"outputIndex": 1,
"outputGlobalIndex": 27734118,
"outputCreatedAt": 967167,
"outputSettledAt": 967169,
"ergoTree": "0008cd03b0b2ce2839747f5e4d3c304a0dd67b47f29649a48e19c5cbb7b93aad106911df",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(b0b2ce,8ea1ce,...)))}",
"address": "9hodDWDNFhzmpY6qQm8spYNpbbus2jYoGEe6yFvM5uC8CfZfnMi",
"assets": [],
"additionalRegisters": {}
},
{
"boxId": "1bd0c507a1c67dac42e5d0ff7e71c2e27b4d3c5809f5f2cf4d910e379ba31f3c",
"value": 522000,
"index": 2,
"spendingProof": null,
"outputBlockId": "70b1f3b7327f8d8879d5cc96e195bfcc3fc5582a8ae8f526ebd6c7b1d5ff0c6d",
"outputTransactionId": "f875bc060f4f27f25f3d60ee1a1ad85803365f7f02d35fe1ce2333dce8aa6cae",
"outputIndex": 2,
"outputGlobalIndex": 27733367,
"outputCreatedAt": 967165,
"outputSettledAt": 967167,
"ergoTree": "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",
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"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val coll2 = box1.tokens\n val coll3 = SELF.R7[Coll[Byte]].get\n val box4 = INPUTS(placeholder[Int](1))\n val coll5 = box4.tokens\n val l6 = coll5(placeholder[Int](2))._2\n val l7 = coll2(placeholder[Int](3))._2 - l6\n val prop8 = SELF.R6[SigmaProp].get\n val coll9 = SELF.tokens\n val tuple10 = coll9(placeholder[Int](4))\n val tuple11 = coll5(placeholder[Int](5))\n val bi12 = placeholder[BigInt](6)\n sigmaProp((coll2(placeholder[Int](7))._1 == coll3) && if (l7 == placeholder[Long](8)) {(\n val box13 = OUTPUTS(getVar[Int](0.toByte).get)\n val box14 = OUTPUTS(getVar[Int](1.toByte).get)\n val i15 = box4.R4[Coll[Int]].get(placeholder[Int](9))\n val opt16 = box1.R8[Int]\n val i17 = i15 - if (opt16.isDefined) { opt16.get } else { box1.R7[Int].get }\n val coll18 = coll9(placeholder[Int](10))._1\n val coll19 = box14.tokens\n val tuple20 = coll9(placeholder[Int](11))\n val l21 = tuple20._2\n val l22 = i17.toLong\n val l23 = l21 - l22 * tuple10._2\n val tuple24 = box13.tokens(placeholder[Int](12))\n ((box13.propositionBytes == prop8.propBytes) && (((((box14.R6[SigmaProp].get == prop8) && (box14.R7[Coll[Byte]].get == coll3)) && (box14.propositionBytes == SELF.propositionBytes)) && if (i17 > placeholder[Int](13)) {(\n val tuple25 = coll19(placeholder[Int](14))\n (((coll18, placeholder[Long](15)) == coll19(placeholder[Int](16))) && (tuple25._1 == tuple20._1)) && (l21 - tuple25._2 == l23)\n )} else { (coll18, placeholder[Long](17)) == coll19(placeholder[Int](18)) }) && (coll19(placeholder[Int](19)) == tuple10))) && ((tuple24._1 == tuple11._1) && (tuple24._2.toBigInt >= tuple11._2.toBigInt - box4.R5[Long].get.toBigInt * i17.toBigInt / i15.toBigInt - bi12 * l23.toBigInt / placeholder[Long](20) - coll5(placeholder[Int](21))._2 - l6 - placeholder[Long](22) * l22.toBigInt - bi12 - bi12))\n )} else { if (l7 < placeholder[Long](23)) { INPUTS(placeholder[Int](24)).tokens(placeholder[Int](25)) == (if (coll9.size == placeholder[Int](26)) { coll9(placeholder[Int](27))._1 } else { coll9(placeholder[Int](28))._1 }, placeholder[Long](29)) } else { placeholder[Boolean](30) } })\n}",
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"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val coll2 = box1.tokens\n val coll3 = SELF.R7[Coll[Byte]].get\n val box4 = INPUTS(placeholder[Int](1))\n val coll5 = box4.tokens\n val l6 = coll5(placeholder[Int](2))._2\n val l7 = coll2(placeholder[Int](3))._2 - l6\n val prop8 = SELF.R6[SigmaProp].get\n val coll9 = SELF.tokens\n val tuple10 = coll9(placeholder[Int](4))\n val tuple11 = coll5(placeholder[Int](5))\n val bi12 = placeholder[BigInt](6)\n sigmaProp((coll2(placeholder[Int](7))._1 == coll3) && if (l7 == placeholder[Long](8)) {(\n val box13 = OUTPUTS(getVar[Int](0.toByte).get)\n val box14 = OUTPUTS(getVar[Int](1.toByte).get)\n val i15 = box4.R4[Coll[Int]].get(placeholder[Int](9))\n val opt16 = box1.R8[Int]\n val i17 = i15 - if (opt16.isDefined) { opt16.get } else { box1.R7[Int].get }\n val coll18 = coll9(placeholder[Int](10))._1\n val coll19 = box14.tokens\n val tuple20 = coll9(placeholder[Int](11))\n val l21 = tuple20._2\n val l22 = i17.toLong\n val l23 = l21 - l22 * tuple10._2\n val tuple24 = box13.tokens(placeholder[Int](12))\n ((box13.propositionBytes == prop8.propBytes) && (((((box14.R6[SigmaProp].get == prop8) && (box14.R7[Coll[Byte]].get == coll3)) && (box14.propositionBytes == SELF.propositionBytes)) && if (i17 > placeholder[Int](13)) {(\n val tuple25 = coll19(placeholder[Int](14))\n (((coll18, placeholder[Long](15)) == coll19(placeholder[Int](16))) && (tuple25._1 == tuple20._1)) && (l21 - tuple25._2 == l23)\n )} else { (coll18, placeholder[Long](17)) == coll19(placeholder[Int](18)) }) && (coll19(placeholder[Int](19)) == tuple10))) && ((tuple24._1 == tuple11._1) && (tuple24._2.toBigInt >= tuple11._2.toBigInt - box4.R5[Long].get.toBigInt * i17.toBigInt / i15.toBigInt - bi12 * l23.toBigInt / placeholder[Long](20) - coll5(placeholder[Int](21))._2 - l6 - placeholder[Long](22) * l22.toBigInt - bi12 - bi12))\n )} else { if (l7 < placeholder[Long](23)) { INPUTS(placeholder[Int](24)).tokens(placeholder[Int](25)) == (if (coll9.size == placeholder[Int](26)) { coll9(placeholder[Int](27))._1 } else { coll9(placeholder[Int](28))._1 }, placeholder[Long](29)) } else { placeholder[Boolean](30) } })\n}",
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"assets": [
{
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"index": 0,
"amount": 18179,
"name": null,
"decimals": null,
"type": null
},
{
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"name": null,
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"type": null
},
{
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"index": 2,
"amount": 1,
"name": "Spectrum YF staking bundle",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
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"sigmaType": "Coll[SByte]",
"renderedValue": "537065637472756d205946207374616b696e672062756e646c65"
},
"R5": {
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"sigmaType": "Coll[SByte]",
"renderedValue": "54686520726570726573656e746174696f6e206f6620796f757220736861726520696e20746865207969656c64206661726d696e6720706f6f6c2028706f6f6c2069643a203762353630646332636433346462326537303436613262653338376235636537336337306633356235326334636661386332623065366635636364623462303529206f6e2074686520537065637472756d2046696e616e636520706c6174666f726d2e"
},
"R6": {
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"sigmaType": "SSigmaProp",
"renderedValue": "02ddbe95b7f88d47bd8c2db823cc5dd1be69a650556a44d4c15ac65e1d3e34324c"
},
"R7": {
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"sigmaType": "Coll[SByte]",
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}
}
},
{
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"value": 522000,
"index": 11,
"spendingProof": null,
"outputBlockId": "70b1f3b7327f8d8879d5cc96e195bfcc3fc5582a8ae8f526ebd6c7b1d5ff0c6d",
"outputTransactionId": "f875bc060f4f27f25f3d60ee1a1ad85803365f7f02d35fe1ce2333dce8aa6cae",
"outputIndex": 11,
"outputGlobalIndex": 27733376,
"outputCreatedAt": 967165,
"outputSettledAt": 967167,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 2\n3: 2\n4: 0\n5: 1\n6: CBigInt(1)\n7: 0\n8: 0\n9: 1\n10: 2\n11: 1\n12: 0\n13: 0\n14: 1\n15: 1\n16: 2\n17: 1\n18: 1\n19: 0\n20: 9223372036854775807\n21: 4\n22: 1\n23: 0\n24: 2\n25: 0\n26: 3\n27: 2\n28: 1\n29: 9223372036854775806\n30: false",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val coll2 = box1.tokens\n val coll3 = SELF.R7[Coll[Byte]].get\n val box4 = INPUTS(placeholder[Int](1))\n val coll5 = box4.tokens\n val l6 = coll5(placeholder[Int](2))._2\n val l7 = coll2(placeholder[Int](3))._2 - l6\n val prop8 = SELF.R6[SigmaProp].get\n val coll9 = SELF.tokens\n val tuple10 = coll9(placeholder[Int](4))\n val tuple11 = coll5(placeholder[Int](5))\n val bi12 = placeholder[BigInt](6)\n sigmaProp((coll2(placeholder[Int](7))._1 == coll3) && if (l7 == placeholder[Long](8)) {(\n val box13 = OUTPUTS(getVar[Int](0.toByte).get)\n val box14 = OUTPUTS(getVar[Int](1.toByte).get)\n val i15 = box4.R4[Coll[Int]].get(placeholder[Int](9))\n val opt16 = box1.R8[Int]\n val i17 = i15 - if (opt16.isDefined) { opt16.get } else { box1.R7[Int].get }\n val coll18 = coll9(placeholder[Int](10))._1\n val coll19 = box14.tokens\n val tuple20 = coll9(placeholder[Int](11))\n val l21 = tuple20._2\n val l22 = i17.toLong\n val l23 = l21 - l22 * tuple10._2\n val tuple24 = box13.tokens(placeholder[Int](12))\n ((box13.propositionBytes == prop8.propBytes) && (((((box14.R6[SigmaProp].get == prop8) && (box14.R7[Coll[Byte]].get == coll3)) && (box14.propositionBytes == SELF.propositionBytes)) && if (i17 > placeholder[Int](13)) {(\n val tuple25 = coll19(placeholder[Int](14))\n (((coll18, placeholder[Long](15)) == coll19(placeholder[Int](16))) && (tuple25._1 == tuple20._1)) && (l21 - tuple25._2 == l23)\n )} else { (coll18, placeholder[Long](17)) == coll19(placeholder[Int](18)) }) && (coll19(placeholder[Int](19)) == tuple10))) && ((tuple24._1 == tuple11._1) && (tuple24._2.toBigInt >= tuple11._2.toBigInt - box4.R5[Long].get.toBigInt * i17.toBigInt / i15.toBigInt - bi12 * l23.toBigInt / placeholder[Long](20) - coll5(placeholder[Int](21))._2 - l6 - placeholder[Long](22) * l22.toBigInt - bi12 - bi12))\n )} else { if (l7 < placeholder[Long](23)) { INPUTS(placeholder[Int](24)).tokens(placeholder[Int](25)) == (if (coll9.size == placeholder[Int](26)) { coll9(placeholder[Int](27))._1 } else { coll9(placeholder[Int](28))._1 }, placeholder[Long](29)) } else { placeholder[Boolean](30) } })\n}",
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"assets": [
{
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"index": 0,
"amount": 8010,
"name": null,
"decimals": null,
"type": null
},
{
"tokenId": "5ad91f43b3df5de478a550e0d5827a02af0373d30a10f32dfa9311a25ff1c0ad",
"index": 1,
"amount": 16020,
"name": null,
"decimals": null,
"type": null
},
{
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"index": 2,
"amount": 1,
"name": "Spectrum YF staking bundle",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
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"sigmaType": "Coll[SByte]",
"renderedValue": "537065637472756d205946207374616b696e672062756e646c65"
},
"R5": {
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"sigmaType": "Coll[SByte]",
"renderedValue": "54686520726570726573656e746174696f6e206f6620796f757220736861726520696e20746865207969656c64206661726d696e6720706f6f6c2028706f6f6c2069643a203762353630646332636433346462326537303436613262653338376235636537336337306633356235326334636661386332623065366635636364623462303529206f6e2074686520537065637472756d2046696e616e636520706c6174666f726d2e"
},
"R6": {
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"sigmaType": "SSigmaProp",
"renderedValue": "02ddbe95b7f88d47bd8c2db823cc5dd1be69a650556a44d4c15ac65e1d3e34324c"
},
"R7": {
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"sigmaType": "Coll[SByte]",
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}
}
}
],
"dataInputs": [],
"outputs": [
{
"boxId": "c81c8d3c3d5339b220fe0fc9b7ae945aa4c1673bc6717fd98d931e614738234c",
"transactionId": "d09ba1a643920c0577ebcfa7857c8cdc6a76b152a9b5e641f465cece4f855db9",
"blockId": "f035eef6b5671c708c9359b8d51be00ca60fd57b928b2dad5dd03e7623780289",
"value": 1250000,
"index": 0,
"globalIndex": 27734140,
"creationHeight": 967167,
"settlementHeight": 967169,
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"sigmaType": "Coll[SInt]",
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"R5": {
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"R6": {
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"mainChain": true
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"ergoTree": "0008cd03b0b2ce2839747f5e4d3c304a0dd67b47f29649a48e19c5cbb7b93aad106911df",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(b0b2ce,8ea1ce,...)))}",
"address": "9hodDWDNFhzmpY6qQm8spYNpbbus2jYoGEe6yFvM5uC8CfZfnMi",
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"ergoTreeConstants": "0: 0\n1: 0\n2: 2\n3: 2\n4: 0\n5: 1\n6: CBigInt(1)\n7: 0\n8: 0\n9: 1\n10: 2\n11: 1\n12: 0\n13: 0\n14: 1\n15: 1\n16: 2\n17: 1\n18: 1\n19: 0\n20: 9223372036854775807\n21: 4\n22: 1\n23: 0\n24: 2\n25: 0\n26: 3\n27: 2\n28: 1\n29: 9223372036854775806\n30: false",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val coll2 = box1.tokens\n val coll3 = SELF.R7[Coll[Byte]].get\n val box4 = INPUTS(placeholder[Int](1))\n val coll5 = box4.tokens\n val l6 = coll5(placeholder[Int](2))._2\n val l7 = coll2(placeholder[Int](3))._2 - l6\n val prop8 = SELF.R6[SigmaProp].get\n val coll9 = SELF.tokens\n val tuple10 = coll9(placeholder[Int](4))\n val tuple11 = coll5(placeholder[Int](5))\n val bi12 = placeholder[BigInt](6)\n sigmaProp((coll2(placeholder[Int](7))._1 == coll3) && if (l7 == placeholder[Long](8)) {(\n val box13 = OUTPUTS(getVar[Int](0.toByte).get)\n val box14 = OUTPUTS(getVar[Int](1.toByte).get)\n val i15 = box4.R4[Coll[Int]].get(placeholder[Int](9))\n val opt16 = box1.R8[Int]\n val i17 = i15 - if (opt16.isDefined) { opt16.get } else { box1.R7[Int].get }\n val coll18 = coll9(placeholder[Int](10))._1\n val coll19 = box14.tokens\n val tuple20 = coll9(placeholder[Int](11))\n val l21 = tuple20._2\n val l22 = i17.toLong\n val l23 = l21 - l22 * tuple10._2\n val tuple24 = box13.tokens(placeholder[Int](12))\n ((box13.propositionBytes == prop8.propBytes) && (((((box14.R6[SigmaProp].get == prop8) && (box14.R7[Coll[Byte]].get == coll3)) && (box14.propositionBytes == SELF.propositionBytes)) && if (i17 > placeholder[Int](13)) {(\n val tuple25 = coll19(placeholder[Int](14))\n (((coll18, placeholder[Long](15)) == coll19(placeholder[Int](16))) && (tuple25._1 == tuple20._1)) && (l21 - tuple25._2 == l23)\n )} else { (coll18, placeholder[Long](17)) == coll19(placeholder[Int](18)) }) && (coll19(placeholder[Int](19)) == tuple10))) && ((tuple24._1 == tuple11._1) && (tuple24._2.toBigInt >= tuple11._2.toBigInt - box4.R5[Long].get.toBigInt * i17.toBigInt / i15.toBigInt - bi12 * l23.toBigInt / placeholder[Long](20) - coll5(placeholder[Int](21))._2 - l6 - placeholder[Long](22) * l22.toBigInt - bi12 - bi12))\n )} else { if (l7 < placeholder[Long](23)) { INPUTS(placeholder[Int](24)).tokens(placeholder[Int](25)) == (if (coll9.size == placeholder[Int](26)) { coll9(placeholder[Int](27))._1 } else { coll9(placeholder[Int](28))._1 }, placeholder[Long](29)) } else { placeholder[Boolean](30) } })\n}",
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},
{
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}
],
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"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val coll2 = box1.tokens\n val coll3 = SELF.R7[Coll[Byte]].get\n val box4 = INPUTS(placeholder[Int](1))\n val coll5 = box4.tokens\n val l6 = coll5(placeholder[Int](2))._2\n val l7 = coll2(placeholder[Int](3))._2 - l6\n val prop8 = SELF.R6[SigmaProp].get\n val coll9 = SELF.tokens\n val tuple10 = coll9(placeholder[Int](4))\n val tuple11 = coll5(placeholder[Int](5))\n val bi12 = placeholder[BigInt](6)\n sigmaProp((coll2(placeholder[Int](7))._1 == coll3) && if (l7 == placeholder[Long](8)) {(\n val box13 = OUTPUTS(getVar[Int](0.toByte).get)\n val box14 = OUTPUTS(getVar[Int](1.toByte).get)\n val i15 = box4.R4[Coll[Int]].get(placeholder[Int](9))\n val opt16 = box1.R8[Int]\n val i17 = i15 - if (opt16.isDefined) { opt16.get } else { box1.R7[Int].get }\n val coll18 = coll9(placeholder[Int](10))._1\n val coll19 = box14.tokens\n val tuple20 = coll9(placeholder[Int](11))\n val l21 = tuple20._2\n val l22 = i17.toLong\n val l23 = l21 - l22 * tuple10._2\n val tuple24 = box13.tokens(placeholder[Int](12))\n ((box13.propositionBytes == prop8.propBytes) && (((((box14.R6[SigmaProp].get == prop8) && (box14.R7[Coll[Byte]].get == coll3)) && (box14.propositionBytes == SELF.propositionBytes)) && if (i17 > placeholder[Int](13)) {(\n val tuple25 = coll19(placeholder[Int](14))\n (((coll18, placeholder[Long](15)) == coll19(placeholder[Int](16))) && (tuple25._1 == tuple20._1)) && (l21 - tuple25._2 == l23)\n )} else { (coll18, placeholder[Long](17)) == coll19(placeholder[Int](18)) }) && (coll19(placeholder[Int](19)) == tuple10))) && ((tuple24._1 == tuple11._1) && (tuple24._2.toBigInt >= tuple11._2.toBigInt - box4.R5[Long].get.toBigInt * i17.toBigInt / i15.toBigInt - bi12 * l23.toBigInt / placeholder[Long](20) - coll5(placeholder[Int](21))._2 - l6 - placeholder[Long](22) * l22.toBigInt - bi12 - bi12))\n )} else { if (l7 < placeholder[Long](23)) { INPUTS(placeholder[Int](24)).tokens(placeholder[Int](25)) == (if (coll9.size == placeholder[Int](26)) { coll9(placeholder[Int](27))._1 } else { coll9(placeholder[Int](28))._1 }, placeholder[Long](29)) } else { placeholder[Boolean](30) } })\n}",
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"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val coll2 = box1.tokens\n val coll3 = SELF.R7[Coll[Byte]].get\n val box4 = INPUTS(placeholder[Int](1))\n val coll5 = box4.tokens\n val l6 = coll5(placeholder[Int](2))._2\n val l7 = coll2(placeholder[Int](3))._2 - l6\n val prop8 = SELF.R6[SigmaProp].get\n val coll9 = SELF.tokens\n val tuple10 = coll9(placeholder[Int](4))\n val tuple11 = coll5(placeholder[Int](5))\n val bi12 = placeholder[BigInt](6)\n sigmaProp((coll2(placeholder[Int](7))._1 == coll3) && if (l7 == placeholder[Long](8)) {(\n val box13 = OUTPUTS(getVar[Int](0.toByte).get)\n val box14 = OUTPUTS(getVar[Int](1.toByte).get)\n val i15 = box4.R4[Coll[Int]].get(placeholder[Int](9))\n val opt16 = box1.R8[Int]\n val i17 = i15 - if (opt16.isDefined) { opt16.get } else { box1.R7[Int].get }\n val coll18 = coll9(placeholder[Int](10))._1\n val coll19 = box14.tokens\n val tuple20 = coll9(placeholder[Int](11))\n val l21 = tuple20._2\n val l22 = i17.toLong\n val l23 = l21 - l22 * tuple10._2\n val tuple24 = box13.tokens(placeholder[Int](12))\n ((box13.propositionBytes == prop8.propBytes) && (((((box14.R6[SigmaProp].get == prop8) && (box14.R7[Coll[Byte]].get == coll3)) && (box14.propositionBytes == SELF.propositionBytes)) && if (i17 > placeholder[Int](13)) {(\n val tuple25 = coll19(placeholder[Int](14))\n (((coll18, placeholder[Long](15)) == coll19(placeholder[Int](16))) && (tuple25._1 == tuple20._1)) && (l21 - tuple25._2 == l23)\n )} else { (coll18, placeholder[Long](17)) == coll19(placeholder[Int](18)) }) && (coll19(placeholder[Int](19)) == tuple10))) && ((tuple24._1 == tuple11._1) && (tuple24._2.toBigInt >= tuple11._2.toBigInt - box4.R5[Long].get.toBigInt * i17.toBigInt / i15.toBigInt - bi12 * l23.toBigInt / placeholder[Long](20) - coll5(placeholder[Int](21))._2 - l6 - placeholder[Long](22) * l22.toBigInt - bi12 - bi12))\n )} else { if (l7 < placeholder[Long](23)) { INPUTS(placeholder[Int](24)).tokens(placeholder[Int](25)) == (if (coll9.size == placeholder[Int](26)) { coll9(placeholder[Int](27))._1 } else { coll9(placeholder[Int](28))._1 }, placeholder[Long](29)) } else { placeholder[Boolean](30) } })\n}",
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},
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},
{
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}
],
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"sigmaType": "SSigmaProp",
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"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val coll2 = box1.tokens\n val coll3 = SELF.R7[Coll[Byte]].get\n val box4 = INPUTS(placeholder[Int](1))\n val coll5 = box4.tokens\n val l6 = coll5(placeholder[Int](2))._2\n val l7 = coll2(placeholder[Int](3))._2 - l6\n val prop8 = SELF.R6[SigmaProp].get\n val coll9 = SELF.tokens\n val tuple10 = coll9(placeholder[Int](4))\n val tuple11 = coll5(placeholder[Int](5))\n val bi12 = placeholder[BigInt](6)\n sigmaProp((coll2(placeholder[Int](7))._1 == coll3) && if (l7 == placeholder[Long](8)) {(\n val box13 = OUTPUTS(getVar[Int](0.toByte).get)\n val box14 = OUTPUTS(getVar[Int](1.toByte).get)\n val i15 = box4.R4[Coll[Int]].get(placeholder[Int](9))\n val opt16 = box1.R8[Int]\n val i17 = i15 - if (opt16.isDefined) { opt16.get } else { box1.R7[Int].get }\n val coll18 = coll9(placeholder[Int](10))._1\n val coll19 = box14.tokens\n val tuple20 = coll9(placeholder[Int](11))\n val l21 = tuple20._2\n val l22 = i17.toLong\n val l23 = l21 - l22 * tuple10._2\n val tuple24 = box13.tokens(placeholder[Int](12))\n ((box13.propositionBytes == prop8.propBytes) && (((((box14.R6[SigmaProp].get == prop8) && (box14.R7[Coll[Byte]].get == coll3)) && (box14.propositionBytes == SELF.propositionBytes)) && if (i17 > placeholder[Int](13)) {(\n val tuple25 = coll19(placeholder[Int](14))\n (((coll18, placeholder[Long](15)) == coll19(placeholder[Int](16))) && (tuple25._1 == tuple20._1)) && (l21 - tuple25._2 == l23)\n )} else { (coll18, placeholder[Long](17)) == coll19(placeholder[Int](18)) }) && (coll19(placeholder[Int](19)) == tuple10))) && ((tuple24._1 == tuple11._1) && (tuple24._2.toBigInt >= tuple11._2.toBigInt - box4.R5[Long].get.toBigInt * i17.toBigInt / i15.toBigInt - bi12 * l23.toBigInt / placeholder[Long](20) - coll5(placeholder[Int](21))._2 - l6 - placeholder[Long](22) * l22.toBigInt - bi12 - bi12))\n )} else { if (l7 < placeholder[Long](23)) { INPUTS(placeholder[Int](24)).tokens(placeholder[Int](25)) == (if (coll9.size == placeholder[Int](26)) { coll9(placeholder[Int](27))._1 } else { coll9(placeholder[Int](28))._1 }, placeholder[Long](29)) } else { placeholder[Boolean](30) } })\n}",
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}
],
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},
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}
],
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"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val coll2 = box1.tokens\n val coll3 = SELF.R7[Coll[Byte]].get\n val box4 = INPUTS(placeholder[Int](1))\n val coll5 = box4.tokens\n val l6 = coll5(placeholder[Int](2))._2\n val l7 = coll2(placeholder[Int](3))._2 - l6\n val prop8 = SELF.R6[SigmaProp].get\n val coll9 = SELF.tokens\n val tuple10 = coll9(placeholder[Int](4))\n val tuple11 = coll5(placeholder[Int](5))\n val bi12 = placeholder[BigInt](6)\n sigmaProp((coll2(placeholder[Int](7))._1 == coll3) && if (l7 == placeholder[Long](8)) {(\n val box13 = OUTPUTS(getVar[Int](0.toByte).get)\n val box14 = OUTPUTS(getVar[Int](1.toByte).get)\n val i15 = box4.R4[Coll[Int]].get(placeholder[Int](9))\n val opt16 = box1.R8[Int]\n val i17 = i15 - if (opt16.isDefined) { opt16.get } else { box1.R7[Int].get }\n val coll18 = coll9(placeholder[Int](10))._1\n val coll19 = box14.tokens\n val tuple20 = coll9(placeholder[Int](11))\n val l21 = tuple20._2\n val l22 = i17.toLong\n val l23 = l21 - l22 * tuple10._2\n val tuple24 = box13.tokens(placeholder[Int](12))\n ((box13.propositionBytes == prop8.propBytes) && (((((box14.R6[SigmaProp].get == prop8) && (box14.R7[Coll[Byte]].get == coll3)) && (box14.propositionBytes == SELF.propositionBytes)) && if (i17 > placeholder[Int](13)) {(\n val tuple25 = coll19(placeholder[Int](14))\n (((coll18, placeholder[Long](15)) == coll19(placeholder[Int](16))) && (tuple25._1 == tuple20._1)) && (l21 - tuple25._2 == l23)\n )} else { (coll18, placeholder[Long](17)) == coll19(placeholder[Int](18)) }) && (coll19(placeholder[Int](19)) == tuple10))) && ((tuple24._1 == tuple11._1) && (tuple24._2.toBigInt >= tuple11._2.toBigInt - box4.R5[Long].get.toBigInt * i17.toBigInt / i15.toBigInt - bi12 * l23.toBigInt / placeholder[Long](20) - coll5(placeholder[Int](21))._2 - l6 - placeholder[Long](22) * l22.toBigInt - bi12 - bi12))\n )} else { if (l7 < placeholder[Long](23)) { INPUTS(placeholder[Int](24)).tokens(placeholder[Int](25)) == (if (coll9.size == placeholder[Int](26)) { coll9(placeholder[Int](27))._1 } else { coll9(placeholder[Int](28))._1 }, placeholder[Long](29)) } else { placeholder[Boolean](30) } })\n}",
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"ergoTreeConstants": "0: 0\n1: 0\n2: Coll(16,2,4,-96,11,8,-51,2,121,-66,102,126,-7,-36,-69,-84,85,-96,98,-107,-50,-121,11,7,2,-101,-4,-37,45,-50,40,-39,89,-14,-127,91,22,-8,23,-104,-22,2,-47,-110,-93,-102,-116,-57,-89,1,115,0,115,1)\n3: Coll(1)\n4: 1",
"ergoTreeScript": "{sigmaProp(\n allOf(\n Coll[Boolean](\n HEIGHT == OUTPUTS(placeholder[Int](0)).creationInfo._1, OUTPUTS(placeholder[Int](1)).propositionBytes == substConstants(\n placeholder[Coll[Byte]](2), placeholder[Coll[Int]](3), Coll[SigmaProp](proveDlog(decodePoint(minerPubKey)))\n ), OUTPUTS.size == placeholder[Int](4)\n )\n )\n)}",
"address": "2iHkR7CWvD1R4j1yZg5bkeDRQavjAaVPeTDFGGLZduHyfWMuYpmhHocX8GJoaieTx78FntzJbCBVL6rf96ocJoZdmWBL2fci7NqWgAirppPQmZ7fN9V6z13Ay6brPriBKYqLp1bT2Fk4FkFLCfdPpe",
"assets": [],
"additionalRegisters": {},
"spentTransactionId": "5991d358fa5859ce307e6e030cda395ffed2f6218beaa655d8614eb7a55daa0a",
"mainChain": true
}
],
"size": 10887,
"isUnconfirmed": false
}